Results 121 to 130 of about 2,581 (220)

Development of Dimethylsulfonium Probes for Broad Profiling of Methyllysine Reader Proteins

Advanced Science, Volume 13, Issue 9, 13 February 2026.
Development of oligoglycine‐based dimethylsulfonium probes for unbiased crosslinking to methyllysine readers. The general probe facilitates profiling of site‐specific methyllysine readers, evaluation of selectivity and activity of reader inhibitors, and global profiling of methyllysine readers.
Jinyu Yang, Yihang Xiao, Yingxiao Gao, Mingxuan Wu   +3 more
wiley   +1 more source

Accessibility and Equity of Park Green Spaces: Considering Differences in Walking Speeds Across Age Groups

Land
Previous studies on measuring the accessibility and equity of park green spaces (PGSs) often overlook differences in walking speeds across age groups, which may lead to research results that deviate from actual conditions.
Weicong Luo, Huan Chen, Zihan Yang, Jinhao Liu   +3 more
doaj   +1 more source

JUNO Conceptual Design Report [PDF]

, 2015
The Jiangmen Underground Neutrino Observatory (JUNO) is proposed to determine the neutrino mass hierarchy using an underground liquid scintillator detector. It is located 53 km away from both Yangjiang and Taishan Nuclear Power Plants in Guangdong, China.
Adam, T., An, F., An, G., An, Q., Anfimov, N., Antonelli, V., Avanzini, M. Buizza, Baccolo, G., Baldoncini, M., Baussan, E., Bellato, M., Bezrukov, L., Bick, D., Blyth, S., Boarin, S., Brigatti, A., Brugière, T., Brugnera, R., Busto, J., Cabrera, A., Cai, H., Cai, X., Cammi, A., Cao, D., Cao, G., Cao, J., Chang, J., Chang, Y., Chen, M., Chen, P., Chen, Q., Chen, S., Chen, S., Chen, S., Chen, X., Chen, Y., Cheng, Y., Chiesa, D., Chukanov, A., Clemenza, M., Clerbaux, B., D'Angelo, D., de Kerret, H., Deng, Z., Deng, Z., Ding, X., Ding, Y., Djurcic, Z., Dmitrievsky, S., Dolgareva, M., Dornic, D., Doroshkevich, E., Dracos, M., Drapier, O., Dusini, S., Díaz, M. A., Enqvist, T., Fan, D., Fang, C., Fang, J., Fang, X., Favart, L., Fedoseev, D., Fiorentini, G., Ford, R., Formozov, A., Gaigher, R., Gan, H., Garfagnini, A., Gaudiot, G., Genster, C., Giammarchi, M., Giuliani, F., Gonchar, M., Gong, G., Gong, H., Gonin, M., Gornushkin, Y., Grassi, M., Grewing, C., Gromov, V., Gu, M., Guan, M., Guarino, V., Guo, W., Guo, X., Guo, Y., Göger-Neff, M., Hackspacher, P., Hagner, C., Han, R., Han, Z., Hao, J., He, M., Hellgartner, D., Heng, Y., Hong, D., Hou, S., Hsiung, Y., Hu, B., Hu, J., Hu, S., Hu, T., Hu, W., Huang, H., Huang, X., Huang, X., Huo, L., Huo, W., Ioannisian, A., Ioannisyan, D., Jeitler, M., Jen, K., Jetter, S., Ji, X., Ji, X., Jian, S., Jiang, D., Jiang, X., Jollet, C., Kaiser, M., Kan, B., Kang, L., Karagounis, M., Kazarian, N., Kettell, S., Korablev, D., Krasnoperov, A., Krokhaleva, S., Krumshteyn, Z., Kruth, A., Kuusiniemi, P., Lachenmaier, T., Lei, L., Lei, R., Lei, X., Leitner, R., Lenz, F., Li, C., Li, F., Li, F., Li, J., Li, N., Li, S., Li, T., Li, W., Li, W., Li, X., Li, X., Li, X., Li, X., Li, Y., Li, Y., Li, Z., Liang, H., Liang, H., Liang, J., Licciardi, M., Lin, G., Lin, S., Lin, T., Lin, Y., Lippi, I., Liu, G., Liu, H., Liu, H., Liu, J., Liu, J., Liu, J., Liu, J., Liu, Q., Liu, Q., Liu, S., Liu, S., Liu, Y., Lombardi, P., Long, Y., Lorenz, S., Lu, C., Lu, F., Lu, H., Lu, J., Lu, J., Lu, J., Lubsandorzhiev, B., Lubsandorzhiev, S., Ludhova, L., Luo, F., Luo, S., Lv, Z., Lyashuk, V., Ma, Q., Ma, S., Ma, X., Ma, X., Malyshkin, Y., Mantovani, F., Mao, Y., Mari, S., Mayilyan, D., McDonough, W., Meng, G., Meregaglia, A., Meroni, E., Mezzetto, M., Min, J., Miramonti, L., Montuschi, M., Morozov, N., Mueller, T., Muralidharan, P., Nastasi, M., Naumov, D., Naumova, E., Nemchenok, I., Ning, Z., Nunokawa, H., Oberauer, L., Ochoa-Ricoux, J. P., Olshevskiy, A., Ortica, F., Pan, H., Paoloni, A., Parkalian, N., Parmeggiano, S., Pec, V., Pelliccia, N., Peng, H., Poussot, P., Pozzi, S., Previtali, E., Prummer, S., Qi, F., Qi, M., Qian, S., Qian, X., Qiao, H., Qin, Z., Ranucci, G., Re, A., Ren, B., Ren, J., Rezinko, T., Ricci, B., Robens, M., Romani, A., Roskovec, B., Ruan, X., Ruan, X., Rybnikov, A., Sadovsky, A., Saggese, P., Salamanna, G., Sawatzki, J., Schuler, J., Selyunin, A., Shi, G., Shi, J., Shi, Y., Sinev, V., Sirignano, C., Sisti, M., Smirnov, O., Soiron, M., Stahl, A., Stanco, L., Steinmann, J., Strati, V., Sun, G., Sun, X., Sun, Y., Sun, Y., Taichenachev, D., Tang, J., Tietzsch, A., Tkachev, I., Trzaska, W. H., Tung, Y., van Waasen, S., Volpe, C., Vorobel, V., Votano, L., Wang, C., Wang, C., Wang, C., Wang, G., Wang, H., Wang, M., Wang, R., Wang, S., Wang, W., Wang, W., Wang, Y., Wang, Y., Wang, Y., Wang, Y., Wang, Z., Wang, Z., Wang, Z., Wang, Z., Wang, Z., Wei, W., Wei, Y., Weifels, M., Wen, L., Wen, Y., Wiebusch, C., Wipperfurth, S., Wong, S. C., Wonsak, B., Wu, C., Wu, Q., Wu, Z., Wurm, M., Wurtz, J., Xi, Y., Xia, D., Xia, J., Xiao, M., Xie, Y., Xu, J., Xu, J., Xu, L., Xu, Y., Yan, B., Yan, X., Yang, C., Yang, C., Yang, H., Yang, L., Yang, M., Yang, Y., Yang, Y., Yang, Y., Yanovich, E., Yao, Y., Ye, M., Ye, X., Yegin, U., Yermia, F., You, Z., Yu, B., Yu, C., Yu, C., Yu, G., Yu, Z., Yuan, Y., Yuan, Z., Zanetti, M., Zeng, P., Zeng, S., Zeng, T., Zhan, L., Zhang, C., Zhang, F., Zhang, G., Zhang, H., Zhang, J., Zhang, J., Zhang, J., Zhang, K., Zhang, P., Zhang, Q., Zhang, T., Zhang, X., Zhang, X., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Z., Zhang, Z., Zhao, J., Zhao, M., Zhao, T., Zhao, Y., Zheng, H., Zheng, M., Zheng, X., Zheng, Y., Zhong, W., Zhou, G., Zhou, J., Zhou, L., Zhou, N., Zhou, R., Zhou, S., Zhou, W., Zhou, X., Zhou, Y., Zhu, H., Zhu, K., Zhuang, H., Zong, L., Zou, J.   +396 more
core   +1 more source

Changes in Dominant Streamflow Drivers as Network‐Scale Flow Regime Shifts From Intermittent to Ephemeral Across a Multi‐Year Drought

Hydrological Processes, Volume 40, Issue 2, February 2026.
Spatial variability in surface water activation and persistence decreased with ongoing drought. The importance of landscape attributes in explaining surface water presence decreased throughout the drought. Flow activation events after several years of drought were more closely associated with precipitation event characteristics than antecedent storage ...
Lauren Giggy, Adam N. Price, Margaret Zimmer   +2 more
wiley   +1 more source

Impact‐Based Drought Detection via Interpretable Machine Learning and Causal Discovery

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract The intensification of drought events due to climate change presents unprecedented risks and widespread socioenvironmental impacts. Traditional drought indices, which rely on hydrometeorological anomalies, often fall short in capturing the full extent of these impacts, as they primarily focus on isolated precursors (e.g., precipitation deficit
Paolo Bonetti, Matteo Giuliani, Teo Bucci, Veronica Cardigliano, Alberto Maria Metelli, Marcello Restelli, Andrea Castelletti   +6 more
wiley   +1 more source

Genetic and Iterative Metaheuristics‐Informed Algorithms for Precision Shallow Groundwater Modeling and Drought Inference

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Cokriging is a widely used geostatistical method for modeling the shallow groundwater table, often incorporating digital elevation models (DEMs) as secondary variables. However, existing approaches rarely include robust validation procedures to reduce local uncertainty or iteratively improve spatial predictions.
Massimiliano Schiavo, Daniele Pedretti
wiley   +1 more source

ASSESSING THE RELATIONSHIP BETWEEN RESIDENTIAL SEGREGATION AND ACCESS TO MENTAL HEALTH SERVICES IN OMAHA, NE [PDF]

Assessing the Relationship Between Residential Segregation and Access to Mental Health Services in Omaha, Ne Equitable healthcare access is a key determinant of a population’s overall health. Despite numerous U.S.
Ampofo, Solomon Twum
core   +1 more source

Weak Physics‐Guided Multi‐Agent Learning for Surface to Subsurface Moisture Estimation Across Diverse Climate and Soil Conditions

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Estimating subsurface soil moisture remains challenging due to limited in situ observations and the complexity of soil water dynamics. Although surface soil moisture can be retrieved from satellites with high accuracy, deeper layers are not directly observable. Traditional physics‐based models that predict subsurface soil moisture require site‐
Abhilash Singh, Vidhi Singh, Kumar Gaurav   +2 more
wiley   +1 more source

Modeling Interactions and Dynamic Saturation Processes in Karst Media

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract The simulation of karst aquifers is highly challenging due to complex conduit‐matrix interactions. This study utilizes KarstFOAM, a high‐fidelity, physics‐based numerical model, to address these challenges. KarstFOAM integrates (a) a unified single‐domain Forchheimer–Darcy–Brinkman–Stokes (FDBS) formulation that transitions naturally across ...
F. Huang, Y. Gao, L. Zhao, D. Wang, X. Hu, X. Wang   +5 more
wiley   +1 more source

Peering into the world of wild passerines with 3D‐SOCS: Synchronized video capture and posture estimation

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 339-356, February 2026.
Abstract Collection of large behavioural data‐sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, has unlocked a new frontier of fine‐scale markerless measurements.
Michael Chimento, Alex Hoi Hang Chan, Lucy M. Aplin, Fumihiro Kano   +3 more
wiley   +1 more source